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Titlebook: Intelligent and Fuzzy Systems; Digital Acceleration Cengiz Kahraman,A. Cagri Tolga,Irem Ucal Sari Conference proceedings 2022 The Editor(s)

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Fuzzy Clustering Based Association Rule Mining: A Case Study on Ecommercethe retail sales data and rules which show an association between sales of two products are investigated. To this end, sales data is preprocessed, and algorithms are used to find the association rules by using the specific threshold values of Support and Confidence parameters. In this study, we inve
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A Novel Fuzzy Clustering-Based Task Allocation Method for Location and Routing of Multi Robots in thaper considers the problem of maximizing the survival probability of survivors in severe and large-scale natural disasters scenarios using multi-robots. A novel two-stage method was used to determine the locations of relief depots and robots’ routes based on a survival probability function. The fuzz
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Assessment of the Effectiveness of Marketing Activities of Commercial Enterprises Using the Theory operience and intuition of marketing workers to solve this problem using the theory of fuzzy sets..The approach can be used for an operational audit of marketing, monitoring the effectiveness of marketing, a comparative analysis of marketing by enterprises, as well as for assessing the competitivenes
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ver increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms..Throughout this book the reader is introduced to the basic concepts and som
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Janusz Kacprzyktions to tackle this problem suggest to selectively materialize certain views and compute the remaining views on-the-fly, so that the cost is optimized. Unfortunately, in case of a spatial data warehouse, both the view materialization cost and the on-the-fly computation cost are often extremely high
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Maroua Razzouqi,Azedine Boulmakoul,Ghyzlane Cherradi,Lamia Karim,Adil El Bouziri,Ahmed Lbath. When a data set contains sensitive information and cannot be directly released to users, such models can be easily constructed based on noise added query responses. The models nonetheless provide preliminary results to users. Although the queried basic statistics meet the differential privacy guar
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